Examples provide customized authorization of item self-returns. A customized returns manager component calculates a customized return-trust score and a per-item return value based on analysis of item data and transaction history data. If a per-user return-trust score is within an unacceptable threshold range or an item value is within an unacceptable threshold value range, a second user is assigned to assist a first user with completion of the proposed return of the selected item. If the per-user return-trust score and the item value is within an acceptable threshold range, a return authorization component authorizes unassisted self-return of the selected item. An item disposition component determines in real-time whether to permit the first user to keep the selected item or instruct the first user to return the selected item to a designated item return area prior to completion of the item return based on a set of item disposition criteria.
Legal claims defining the scope of protection, as filed with the USPTO.
3. The system of claim 1, wherein the calculation component is configured to calculate the per-item return value for the selected item based on a set of item attributes and a set of item-value parameters, wherein the set of item-value parameters comprising at least one of a threshold value of the selected item, a threshold number of instances of a returned item per time-period, a threshold number of item returns in a single transaction, a set of self-return ineligible categories, and a set of self-return ineligible items.
4. The system of claim 1, wherein the calculation component is configured to calculate the per-item return value for the selected item based on a set of item attributes and a set of item-value parameters, wherein the set of item attributes comprises at least one of a category of the selected item, the value of the selected item, and an item returns history associated with the selected item, wherein the item returns history corresponding to the selected item comprises at least one of a number of instances of the selected item returned within a first time-period, a number of valid returns of instances of the selected item within a second time-period, and a number of invalid attempted returns of instances of the selected item within a third time-period.
8. The system of claim 1, wherein the calculation component is further configured to calculate the per-user return-trust score for the selected user based on an analysis of the item data associated with the selected item and transaction history data associated with the selected user, wherein the transaction history data comprises at least one of a method of payment utilized to complete previous transactions, a credit score associated with the selected user, an identification of one or more issues associated with previously returned items, and user provided data associated with the returns account of the selected user.
9. The system of claim 1, wherein calculation component is further configured to calculate the per-user return-trust score for the selected user based on an analysis of the item data associated with the selected item and transaction history data associated with the selected user, wherein the transaction history data comprises at least one of a number of items returned by the selected user within a second predetermined time-period, a number of items purchased by the selected user within the second predetermined time-period, an identification of items previously returned, and a value of each item previously returned.
15. The method of claim 13, wherein the calculating the per-item return value for the selected item comprises calculating the per-item return value based on a set of item attributes and a set of item-value parameters, wherein the set of item-value parameters comprising at least one of a threshold value of the selected item, a threshold number of instances of a returned item per time-period, a threshold number of item returns in a single transaction, a set of self-return ineligible categories, and a set of self-return ineligible items.
16. The method of claim 13, wherein the calculating the per-item return value for the selected item comprises calculating the per-item return value based on a set of item attributes and a set of item-value parameters, wherein the set of item attributes comprises at least one of a category of the selected item, the value of the selected item, and an item returns history associated with the selected item, wherein the item returns history corresponding to the selected item comprises at least one of a number of instances of the selected item returned within a first time-period, a number of valid returns of instances of the selected item within a second time-period, and a number of invalid attempted returns of instances of the selected item within a third time-period.
19. The method of claim 13, wherein the calculating the per-user return-trust score for the selected user comprises calculating the per-user return-trust score for the selected user based on an analysis of the item data associated with the selected item and transaction history data associated with the selected user, wherein the transaction history data comprises at least one of a method of payment utilized to complete previous transactions, a credit score associated with the selected user, an identification of one or more issues associated with previously returned items, and user provided data associated with the returns account of the selected user.
20. The method of claim 13, wherein the calculating the per-user return-trust score for the selected user comprises calculating the per-user return-trust score for the selected user based on an analysis of the item data associated with the selected item and transaction history data associated with the selected user, wherein the transaction history data comprises at least one of a number of items returned by the selected user within a second predetermined time-period, a number of items purchased by the selected user within the second predetermined time-period, an identification of items previously returned, and a value of each item previously returned.
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January 11, 2022
June 18, 2024
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